Connecting Your Data Mesh with DataOps
The Data Mesh is an exciting new paradigm that organizes data work into decentralized domains. In a Data Mesh, domain-specific data consumers handle their own data pipelines and create data products. This architecture gives data owners greater autonomy and flexibility. Teams working in this way can focus on delivering customer value and creating data products, instead of simply completing data projects.
Although extremely useful, Data Mesh does not address the operational processes behind the data architecture. For example, how do you orchestrate, test, develop, and deploy within and across the different domains? How do different teams in each domain's mesh collaborate? How do you stop your data mesh from turning into a data mush?
In this webinar, Chris Bergh shares how DataOps solves the operational challenges of a Data Mesh. He'll cover:
- What exactly are Data Mesh and DataOps;
- How DataOps complements a Data Mesh architecture; &
- Extended examples of successful Data Mesh and DataOps integrations.
About the Speaker
Chris Bergh is Co-Founder, CEO & Head Chef of DataKitchen, a DataOps software & services startup. He has more than 30 years of research, software engineering, data analytics & executive management experience. At various points in his career, he has been a COO, CTO, VP & Director of Engineering. Chris is a recognized expert on DataOps. He is the co-author of The DataOps Cookbook & The DataOps Manifesto & a speaker on DataOps at many industry conferences. You can follow Chris on Twitter @ChrisBergh.